Nabil Nafia
Papers
2
Total Citations
35
H-Index
2
About
Nabil Nafia is a control systems researcher whose work focuses on robust control strategies for complex nonlinear systems, particularly robot manipulators. His primary research areas include adaptive fuzzy logic control, sliding mode control, and type-2 fuzzy systems for handling dynamic uncertainties and unknown disturbances. Nafia’s major contributions lie in developing novel adaptive interval type-2 fuzzy sliding mode control (AIT2-FSMCL) designs, which significantly improve tracking performance and robustness in multi-input multi-output (MIMO) nonlinear systems. His most cited work, "Robust Interval Type-2 Fuzzy Sliding Mode Control Design for Robot Manipulators" (2018, 22 citations), introduces a pioneering approach that uses two adaptive interval type-2 fuzzy logic systems to better approximate parametric uncertainties, achieving superior control over traditional methods. Another influential paper (2018, 13 citations) extends this framework to disturbed MIMO systems with unknown dynamics, demonstrating broad applicability. With a growing citation record, Nafia’s research is highly relevant for students and engineers working on advanced robotics, automation, and intelligent control systems, offering practical solutions for real-world challenges in uncertain environments.
Research Focus
Key Achievements
Top Papers
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